theplu::yat::classifier::Kernel_SEV Class Reference

Speed Efficient Kernel. More...

#include <yat/classifier/Kernel_SEV.h>

Inheritance diagram for theplu::yat::classifier::Kernel_SEV:

List of all members.

Public Member Functions
	Kernel_SEV (const MatrixLookup &, const KernelFunction &, const bool own=false)
	Kernel_SEV (const MatrixLookupWeighted &, const KernelFunction &, const bool own=false)
	Kernel_SEV (const Kernel_SEV &kernel, const std::vector< size_t > &index)
const Kernel_SEV *	make_kernel (const MatrixLookup &, const bool own=false) const
const Kernel_SEV *	make_kernel (const MatrixLookupWeighted &, const bool own=false) const
double	operator() (const size_t row, const size_t column) const
const MatrixLookup &	data (void) const
const MatrixLookupWeighted &	data_weighted (void) const
double	element (const DataLookup1D &vec, const size_t i) const
double	element (const DataLookupWeighted1D &vec, const size_t i) const
size_t	size (void) const
	number of samples
bool	weighted (void) const
Protected Attributes
const MatrixLookup *	ml_
	underlying data
const MatrixLookupWeighted *	mlw_
	same as data_ if weifghted otherwise a NULL pointer
const KernelFunction *	kf_
	type of Kernel Function e.g. Gaussian (aka RBF)
unsigned int *	ref_count_
unsigned int *	ref_count_w_

---

Detailed Description

Speed Efficient Kernel.

Class taking care of the kernel matrix, where is number of samples. Type of Kernel is defined by a KernelFunction. This Speed Efficient Version (SEV) calculates the kernel matrix once by construction and the kernel is stored in memory. When is large and the kernel matrix cannot be stored in memory, use Kernel_MEV instead.

---

Constructor & Destructor Documentation

theplu::yat::classifier::Kernel_SEV::Kernel_SEV	(	const MatrixLookup &	,
		const KernelFunction &	,
		const bool	own = false
	)

Constructor taking the data matrix and KernelFunction as input.

Note:

Can not handle NaNs. When dealing with missing values, use KernelWeighted_SEV instead.

theplu::yat::classifier::Kernel_SEV::Kernel_SEV	(	const MatrixLookupWeighted &	,
		const KernelFunction &	,
		const bool	own = false
	)

Constructor taking the data matrix and KernelFunction as input.

Note:

Can not handle NaNs. When dealing with missing values, use KernelWeighted_SEV instead.

theplu::yat::classifier::Kernel_SEV::Kernel_SEV	(	const Kernel_SEV &	kernel,
		const std::vector< size_t > &	index
	)

Constructs a Kernel based on selected features defined by index

---

Member Function Documentation

const Kernel_SEV* theplu::yat::classifier::Kernel_SEV::make_kernel	(	const MatrixLookup &	,
		const bool	own = false
	)			const [virtual]

An interface for making new classifier objects. This function allows for specification at run-time of which kernel to instatiate (see 'Prototype' in Design Patterns).

Note:

Returns a dynamically allocated Kernel, which has to be deleted by the caller to avoid memory leaks.

Implements theplu::yat::classifier::Kernel.

const Kernel_SEV* theplu::yat::classifier::Kernel_SEV::make_kernel	(	const MatrixLookupWeighted &	,
		const bool	own = false
	)			const [virtual]

An interface for making new classifier objects. This function allows for specification at run-time of which kernel to instatiate (see 'Prototype' in Design Patterns).

Note:

Returns a dynamically allocated Kernel, which has to be deleted by the caller to avoid memory leaks.

Implements theplu::yat::classifier::Kernel.

double theplu::yat::classifier::Kernel_SEV::operator()	(	const size_t	row,
		const size_t	column
	)			const [virtual]

Returns:

element at position (row, column) in the Kernel matrix

Implements theplu::yat::classifier::Kernel.

const MatrixLookup& theplu::yat::classifier::Kernel::data

(

void

)

const [inherited]

Returns:

const reference to the underlying data.

Exceptions:

if

data is weighted

const MatrixLookupWeighted& theplu::yat::classifier::Kernel::data_weighted

(

void

)

const [inherited]

Returns:

const reference to the underlying data.

Exceptions:

if

data is unweighted

double theplu::yat::classifier::Kernel::element	(	const DataLookup1D &	vec,
		const size_t	i
	)			const [inherited]

Calculates the scalar product (using the KernelFunction) between vector vec and the th column in the data matrix.

double theplu::yat::classifier::Kernel::element	(	const DataLookupWeighted1D &	vec,
		const size_t	i
	)			const [inherited]

Calculates the weighted scalar product (using the KernelFunction) between vector vec and the th column in the data matrix. Using a weight vector with all elements equal to unity yields same result as the non-weighted version above.

bool theplu::yat::classifier::Kernel::weighted

(

void

)

const [inherited]

Returns:

true if kernel is calculated using weights

---

Member Data Documentation

unsigned int* theplu::yat::classifier::Kernel::ref_count_ [protected, inherited]

pointer telling how many owners to underlying data (data_). NULL if this is not an owner.

unsigned int* theplu::yat::classifier::Kernel::ref_count_w_ [protected, inherited]

pointer telling how many owners to underlying weights (data_w_). NULL if this is not an owner.

---

The documentation for this class was generated from the following file:

• yat/classifier/Kernel_SEV.h